Hire Automation Engineers

Automation Developer Demand Rises for the Foreseeable Future

Automation is more than a trend in programming—it’s a monumental shift in how business gets done. According to a Mordor Intelligence report, workflow automation is projected to grow at a CAGR of 9.52% from 2024 to 2029. Recent advances involving artificial intelligence (AI) in automation further expand the possibilities for cutting costs and improving productivity across the board. But the professional talent boom in the tech industry cannot keep pace with demand, and this competitive job market makes it tough to find and retain automation software specialists.

Automated processes are everywhere in our daily lives. In retail they are changing the way companies manage inventory and increasing the level of service for the customer, making the buying experience more straightforward. In finance and banking they are transforming the way we assess risk and identify fraud. In the supply chain and logistics sector it is impossible to imagine optimized warehousing and merchandise flow without automated flows. In the technology industry automated processes are crucial in DevOps, streamlining software development cycles and improving operational efficiency. And in the field of data analytics automation enhances data processing speed and accuracy, leading to more insightful and timely business decisions.

This guide covers some of the most important aspects of hiring for automation roles. We explore how to identify experts in this ever-evolving field, including how to find the right fit for your specialized roles, and offer guidance on creating accurate job descriptions and asking relevant questions during the interview process.

What attributes distinguish quality Automation Developers from others?

Automation developer is a broad term that describes several different specialties, including software testing, workflow automation, DevOps and security, and more. Regardless of their domain, automation developers are generally responsible for designing, building, and maintaining software to automate repetitive or complex tasks. This can significantly increase efficiency and reduce error in business processes, especially data-intensive operations, such as logistics, where a single typo can lead to serious consequences. High-quality automation developers across all specialties should possess technical expertise as well as soft skills. Here are a few key characteristics to look for:

Tooling and programming expertise – A strong automation developer has a deep understanding of various automation tools and the ability to work with multiple programming languages. They need to be well-versed in different frameworks and types of automation, such as UiPath for robotic process automation, Jenkins for CI/CD, and Apache Airflow for workflow automation. Their ability to adapt best practices, such as SOLID principles and design patterns, across different environments, like .NET for Windows-based automation or using Node.js for cross-platform tasks, is indicative of their technical agility. Those who stay up to date on the latest trends will likely be familiar with common applications of AI and large language models (LLMs) in their domain.

Systems integration experience – Great automation developers excel at integrating automation processes in legacy systems without harming ongoing tasks, including using middleware platforms like MuleSoft or employing ESB architecture for minimal disruptions. Expertise in these kinds of enterprise integrations is essential for seamlessly connecting various systems and ensuring that they’ll require minimal upkeep in the future.

Application programming interface (API) experience – All automation developers should be proficient in working with APIs, which enable various platforms and services to communicate and share data. They should have experience with platforms like Postman for testing out API calls and responses, and Swagger for generating API documentation. This domain knowledge is the means by which software developers carry out the majority of integrations, so any tasks or services to be automated will likely involve APIs. Retrieving and manipulating data from API sources should be a trivial exercise for an experienced candidate.

Proficiency with documentation – All software professionals need to be able to understand technical documentation. Automation developers may routinely encounter new tools and technologies they’ve never worked with before, so they need to be able to quickly and efficiently review documentation to get up to speed.

Testing skills – Mastering the art of testing–including unit, integration, and end-to-end testing–is crucial for ensuring the reliability and effectiveness of automated systems. A skilled automation developer will often use automated testing frameworks, such as Selenium or Jest, to create robust test suites that validate the functionality and performance of their solutions.

Knowledge of databases and SQL – Since many automation tasks involve data manipulation and storage, a competent automation developer should be proficient in database technologies and SQL. This expertise is vital for tasks like automating database back-ups, generating reports, and managing data retrieval and insertion, which are common in various automated processes.

Experience with version control – A solid grasp of version control using systems like Git is essential for any developer, including those in automation. Version control allows for better code management, especially when working in teams, and enables the tracking of changes and collaboration without conflicts, contributing to seamless workflow automation. DevOps specialists in particular should be experts in this domain to make the most of version control platforms like GitHub and the continuous integration and continuous delivery (CI/CD) tools they offer for automating developer workflows.

Soft skills – A talented automation developer needs more than just technical skills. They must be able to design automation strategies that meet the needs of the business to help cut costs and boost productivity, so they should have a strong grasp of business processes. Moreover, developers should be able to explain highly technical issues in plain language without losing precision so that both stakeholders and end users can understand what they’re describing and why it matters. Automation developers need to be able to articulate the value of their work in terms of errors avoided, human-hours saved, and other key metrics.

A strong automation developer’s decision-making process should be centered around the end-user experience. They should prioritize making automation solutions intuitive and user-friendly.

Complementary technical skills for automation development

Because automation developers have such a wide range of tools at their disposal, they must have a firm understanding of which programming languages, frameworks, and other technologies are best suited for different use cases. Any given automation developer may not have extensive experience with all of the tools and skills described below, and your project requirements will determine which are must-haves and which are nice-to-haves. For example, testing frameworks like Selenium are more likely to be used by test automation developers, whereas platforms like Docker will be more relevant to DevOps engineers.

Python – One of the most widely used programming languages, Python dominates the automation expert’s toolbox. It excels at scripting and can rapidly produce automation scripts for a range of tasks from data processing to web scraping. Python has many libraries to support data-driven automation, such as Pandas for manipulating data structures and Selenium for automating web browsers. Simple to read and easy to work with, Python facilitates fast prototyping.

Java – Java’s robustness and platform independence make this language the go-to choice for large-scale automation projects. It fits nicely into sprawling systems and is therefore appropriate for automating complex business processes and workflows. Java’s battle-tested ecosystem provides developers with all of the tools, libraries, and frameworks they need to craft reliable and scalable automation solutions. Additionally, Java’s extensive presence in the enterprise space for these past couple of decades means there is an incredible wealth of community resources available.

JavaScript – As a key programming language for web development, JavaScript is responsible for a huge market share of web-based automation. Its principal strength is automating front-end tasks, including browser automation, user interaction simulations, and web scraping. JavaScript can efficiently handle asynchronous tasks like API calls, which is crucial for automation tasks that interact with different applications across the web. Thanks to Node.js, JavaScript can extend its capabilities to server-side automation as well, making it a versatile choice for full-stack solutions.

C# – Developed as part of the Microsoft .NET framework, C# is a good choice for companies that rely on Windows environments. The language’s seamless integration with the .NET ecosystem means that C# experts have access to a huge selection of powerful libraries and tools to create robust automation solutions, making it appropriate for everything from creating simple scripts to entire suites for automating MS Office tasks. C#’s strong typing and object-oriented features mean that not only are the automation solutions straightforward to write, but they are also easy to maintain and scale.

Selenium – One of the leading tools in web testing automation, Selenium allows developers to emulate user interactions with web browsers and automate interactions with web apps in various environments. It supports Java, Python, and C#, so developers can use whichever language they’re comfortable with to write their test scripts. It also automates across multiple browsers and OS and is very helpful for anyone doing cross-browser testing.

Appium – One of the most used tools in mobile application testing, Appium facilitates test automation for iOS and Android (and other platforms like TV apps) without altering the app. As an extension to Selenium, it provides a consistent testing interface for all platforms and can automate native, hybrid, and mobile web apps. By supporting real devices, simulators, and emulators, Appium allows users to simulate almost any test scenario, assuring that the app meets high standards of quality and usability.

Jenkins – Jenkins is a CI/CD tool that enables developers to create streamlined and efficient workflows. Jenkins provides several plugins that assist in creating a complete system for the CI/CD pipeline, where each plugin works within the tool’s many possible configurations. This makes the Jenkins CI/CD pipeline one of the most flexible around.

Docker – Docker is a powerful tool in automation development: It establishes how applications are created, distributed, and executed. It does so with containers, presenting a lightweight platform for application testing and providing consistent infrastructure across different development, testing, and production environments. Compatibility issues are eliminated and deployment processes are simplified, as Docker standardizes the infrastructure where the application runs. Docker enables developers to package an application together with all of its dependencies into one unit, which makes version control (with tools like Git) and automated testing much simpler.

Cloud computing skills – In the context of cloud computing, Function as a Service (FaaS) and other cloud-based tools offer practical ways of automating tasks without the need for managing servers. The field is led by Amazon AWS, Microsoft Azure, and Google Cloud Platform, all of which enable the rapid deployment of complex backend services and integrate seamlessly with automated processes like handling event-driven tasks and scaling effectively to meet computational demand.

OpenAI API – The OpenAI API (which powers ChatGPT) and other LLMs like Google’s Gemini signify a potential turning point for automation. Rather than merely following commands or using predefined responses like a traditional chatbot, these APIs allow AI models to carry out flowing conversations with a human. That’s important for the developing field of natural language understanding and generation, which is what makes the technology ideal for everything from automating customer support to analyzing bulk data for trends and insights. These advancements are key to creating features that are more engaging, efficient, and personal. With support for a wide range of programming languages and platforms, and the ability to bring in custom models, these APIs can be built into an almost endless list of automation services.

How can you identify the ideal Automation Developer for you?

Before hiring an automation developer, you should first identify your project’s objectives, restrictions, and resources in order to narrow down the specific skill set needed. Consider whether the new hire will be working solo or as part of a team of developers; whether they’ll be an individual contributor or have direct reports; and whether or not you can accommodate fully remote or freelance automation developers. The more open-ended and complex the project at hand, the more senior the candidates should be. Here’s what to look for when differentiating between levels of experience:

Junior automation developers are most useful when supporting more experienced team members and taking care of simple automation tasks with well-defined parameters, such as automating data entry tasks into a customer relationship management (CRM) system. They can typically handle routine scripting and debugging under supervision, but may need to focus more on learning the codebase and automation tools. Without guidance they will likely not be able to create automation solutions that will scale well, but this may not be a concern if the project at hand is internal facing and only meant to serve a small number of users.

Mid-level automation developers should have a few years of experience working on business process integrations using a variety of programming skills and tools. They’re often responsible for developing and optimizing automation scripts, integrating automation solutions with other systems, and troubleshooting more intricate issues to enhance operational workflows. A mid-level automation developer might be tasked, for example, with automating the testing of a web application’s user interface to ensure compatibility across different browsers and devices. They can play crucial roles during the development phase, after an organization has already made its most important decisions about project guidelines and overall architecture.

Senior automation developers will have many years of experience in business process automation as well as advanced project management skills. A senior automation developer can lead the strategic planning and architecture of automation systems, mentor junior staff, and drive the adoption of best practices and new automation technologies across the organization. For example, they might take on the development of a company-wide automation framework that integrates various software systems, such as ERP and supply chain management, to streamline processes and provide real-time analytics. They should be able to own end-to-end projects from conception to final evaluation to ensure that project outcomes are aligned with stakeholder objectives.

Common use cases for automation developers

There are many reasons why companies may want to hire automation developers, including:

• Test automation – Automation developers can create or employ automated testing frameworks for software products to help identify bugs early in the development cycle, covering regression tests, functional tests, integration tests, and performance tests.
• Workflow automation – Workflow automation can greatly improve productivity and reduce manual errors. Automation developers can help establish workflows with automated tasks and processes across various departments within an organization, such as data entry, file management, and email notifications.
• Infrastructure automation – Automation developers facilitate the provisioning and configuration of IT and cloud resources, which encompasses automating server deployments, scaling resources based on demand, and ensuring infrastructure compliance.
• Data integration and ETL automation – Automation developers can automate the process of extracting, transforming, and loading (ETL) data from various sources into data warehouses, databases, or analytics platforms. Ideal tasks for ETL automation include data ingestion, cleansing, normalization, and reporting. LLMs are especially useful in this domain, because they can receive plain-language instructions to quickly restructure and reformat large volumes of data.
• Monitoring and alerting automation – Automation developers can create scripts and use specialized tools to automate the monitoring of IT systems, applications, and infrastructure to ensure system reliability. This includes automating the collection of metrics, setting up thresholds, and triggering alerts based on predefined conditions.
• Security automation – Security automation helps streamline compliance with industry regulations and standards. Automation developers build systems that can automatically detect and respond to security threats in real-time, reducing the window for potential damage. Security scans, intrusion detection, incident response, and patch management can all be automated.

How to Write an Automation Developer Job Description for Your Project

When writing a job description for an automation developer, it is essential to clarify the specific tasks to be automated as well as the technologies involved. This will enable candidates to mention their relevant skills in their applications and connect their experiences more closely to your needs during job interviews. Consider whether your project focuses more on test automation, workflow automation, monitoring automation, or some other specialty in this realm—for example, a QA engineer will have a somewhat different skill set than a DevOps specialist, though they may both pursue roles in automation.

Be sure to mention all of the specific tools, technologies, and programming languages they’ll need to be familiar with, and describe the level of seniority you’re looking for. Get specific with job titles: “Senior Java Test Automation Developer” makes it easier for candidates to self-select than “Automation Developer,” which doesn’t offer any details about the level of experience, the technologies used, or the kinds of automation processes to be built or maintained.

What are the most important Automation Developer interview questions?

The following questions broadly cover common topics that you may want to discuss with an automation developer during the interview process. While these questions should serve as a solid foundation for gauging a candidate’s skills and experience level, it’s important to note that they are just a starting point. You will likely want to delve deeper by formulating more specific questions and follow-ups that align with your organization’s unique needs and use cases.

Can you describe a challenging automation project you worked on and how you approached it?

This question provides insights into a candidate’s experiences with complex automation tasks, giving them the opportunity to demonstrate how they handle problems and deal with resource-restricted scenarios such as tight budgets or quick turnaround times. An ideal candidate should describe a complex project and include specific details, for example, developing a CI/CD pipeline for a multi-component software system using Jenkins and Docker for seamless deployment across different environments. They might recount challenges, such as integrating disparate systems or managing data consistency, and how they applied specific tools like custom Python scripts to resolve them. While the technologies mentioned can differ with varying developer experience, all strong answers will include a clear description of the project scope, any limitations or constraints, and approaches considered.

How do you identify tasks suitable for automation? What criteria do you use?

The ideal candidate will describe a decision-making process that weighs the potential efficiency gains against the time, resources, and costs involved. They might bring up tasks that are especially time-consuming and prone to human error, such as repetitive data entry, but should also understand when a task requires a level of human creativity or judgment that can’t be automated reliably. They should be able to reference specific metrics to evaluate the task’s automation suitability, such as its frequency, complexity, and the potential ROI. This question helps shed light on the candidate’s strategic thinking abilities to better understand if they’re able to operate independently or require more senior leadership.

Given our specific situation, which tools and frameworks would you recommend for our use case, and why?

This question measures the candidate’s ability to provide a context-sensitive and forward-looking technology strategy. A strong candidate would stress the importance of deeply understanding your company’s specific use case in depth before proposing any tools or frameworks. Their answer will be highly specific to your company’s infrastructure and goals; for example, they might suggest using Ansible for IT automation or Kubernetes for scaling containerized applications. The candidate should account for the longevity of their recommendations, noting how the tools might evolve with the project’s growth or that they may need to be replaced by more sophisticated solutions at scale.

Which practices do you employ to ensure the robustness of your solutions and future-proof your code?

When asked about ensuring the robustness and future-proof nature of their solutions, a strong candidate would underscore a commitment to clean code practices, focusing on modularity and readability, often achieved through self-documenting code. They may also highlight the utilization of test-driven development (TDD) as a core practice for ensuring thorough testing and reliability from the outset. Additionally, they could discuss routinely employing design patterns for scalable and maintainable architecture, coupled with continuous refactoring to keep the codebase agile and adaptable to future changes. This question helps to evaluate whether the candidate’s solutions would be maintainable and extensible, which is crucial for the ease of collaboration between automation developers across the software’s lifecycle.

What are some potential causes of failure in an automated task, and how would you respond to them?

This question can help to assess the candidate’s ability to anticipate and solve potential incoming problems, as well as their capacity to recover gracefully from common failure modes when writing automated tasks. The best answers will cover network issues; data consistency problems, like unexpected responses from third-party apps; infrastructure overload; and other unhandled exceptions. Candidates should mention specific strategies, such as back-off attempts and monitoring and alerting frequent flaws.

How is error handling performed by an automation developer?

Error handling proactively addresses potential causes of failure by anticipating problems that may arise during the execution of automated jobs. Developers must recognize common errors that may occur during the task execution, such as incorrect user inputs, unexpected responses from third-party applications, network issues, or any other source of logic errors in the code. Effective error handling usually includes strategies like try-catch blocks, where developers anticipate the exact possible points of failure in their programs and handle those situations accordingly. This is referred to as “graceful” error handling, which aims to prevent the abrupt failure of the application. Instead it takes additional steps to optimally manage the situation, such as returning a suitable error message, applying retry logic to execute the task again later, or simply logging the results to a monitored data set. This is a great question to ask to help assess the candidate’s skill level.

How would you leverage artificial intelligence to enhance our existing automated processes?

If your company is interested in how AI might be able to improve your workflows and automation processes, you should invite candidates to speak about any practical experience they may have with it. Unless you’re starting from scratch with a greenfield project, it’s good to bring up existing systems so you can focus on practical solutions rather than theoretical possibilities. A strong candidate should be able to articulate specific examples, such as using LLMs to aid in automating the processing and formatting of large volumes of data, or automating customer service interactions using an LLM-powered chatbot.

Why do companies hire Automation Developers?

In an era where technology underpins corporate strategy, automation developers stand at the forefront of orchestrating complex systems that enhance productivity. As we witness an unprecedented boom in artificial intelligence, these specialists are adapting by leveraging AI and LLMs to elevate automation beyond static routines to dynamic processes that can learn and adapt in real time. The rise of AI-fueled automation is changing the very nature of tasks that can be automated, enabling businesses to explore new frontiers of productivity and reliability.

The technical expertise of automation developers in developing, implementing, and managing automation systems supports the streamlining of numerous business processes. Organizations can cut expenses, minimize errors, and free up human resources for more strategic work by automating repetitive and time-consuming tasks. Automation developers are essential to the integration of new technologies and the maintenance of scalable, reliable automated systems that meet changing business requirements. These factors encourage innovation and enable businesses to stay ahead of the competition.

The technical content presented in this article was reviewed by Papuna Gagnidze.